David Martín Gómez
Position:AssociateProfessor
Telephone: +34 916248813
Address: Avda de la Universidad 30, 28911, Leganés, Madrid
Office: 1.3.B.14
Brief Bio
David Martín, graduated in Industrial Physics (Automation) from the National University of Distance Education (UNED, 2002) and Ph.D. degree in Computer Science from the Spanish Council for Scientific Research (CSIC) and UNED, Spain 2008. He was Ph.D. student at CSIC from 2002 to 2006. He was fellow at the European Organization for Nuclear Research (CERN, Switzerland, 2006-2008) and Post-Doc researcher in Robotics at CSIC (2008-2011). Currently, he is Professor and Post-Doc researcher at Carlos III University of Madrid and member of the Intelligent Systems Lab since 2011. His research interests are Real-time Perception Systems, Computer Vision, Sensor Fusion, Intelligent Transportation Systems, Advanced Driver Assistance Systems, Autonomous Ground Vehicles, Unmanned Aerial Vehicles, and Vehicle Positioning and Navigation. He participates in several industrial research projects, and is reviewer of prestigious Journals, and member of the Spanish Computer Vision Group, among others. In 2014, he was awarded with the VII Barreiros Foundation award to the best research in the automotive field. In 2015, the IEEE Society has awarded Dr. Martín as the best reviewer of the 18th IEEE International Conference on Intelligent Transportation Systems.
Projects
- (1) Name of the project: Integracion de vehiculos autonomos electricos en entornos urbanos
Name principal investigator (PI, Co-PI): Arturo De la Escalera Hueso y David Martín Gómez
Funding entity or bodies: Ministerio de Ciencia, Innovación y Universidades (RTI2018-096036-B-C21)
Start-End date: 01/04/2019 – 01/04/2022(2) Name of the project: Sistema autónomo aéreoterrestre para la inspección colaborativa y digitalización de la red ferroviaria: DG RAIL
Name principal investigator (PI): David Martín Gómez
Funding entity or bodies: Ministerio de Economía y Competitividad (RTC-2017-6342-4)
Start-End date: 2018 – 2020(3) Name of the project: Vehículo ultraligero no tripulado desplazable sobre carriles para labores automáticas de inspección, mantenimiento y vigilancia de vía e infraestructura ferroviaria con posicionamiento y comportamiento inteligente mediante computadores y sensores
Name principal investigator (PI, Co-PI): José María Armingol Moreno
Funding entity or bodies: Ministerio de Economía y Competitividad (RTC-2015-3953-4)
Start-End date: 2015 – 2018(4) Name of the project: Seguridad de los vehículos automóviles, por un transporte inteligente, eficiente y seguro
Name principal investigator (PI, Co-PI): UPM-INSIA: Francisco Aparicio Izquierdo; Investigador Principal UC3M: José Maria Armingol Moreno
Funding entity or bodies: Comunidad de Madrid (P2013/MIT-2713)
Start-End date: 2014 – 2018(5) Name of the project: Sistema avanzado de asistencia a la conducción para entornos interurbanos: percepción del entorno y simulación
Name principal investigator (PI, Co-PI): José Maria Armingol Moreno
Funding entity or bodies: Ministerio de Economía y Competitividad (TRA2013-48314-C3-1-R)
Participantes: Universidad Carlos III, UPM-INSIA and Universidad Europea de Madrid-UEM
Start-End date: 2014 – 2017(6) Name of the project: Sistema robotizado inteligente de precisión y alto rendimiento para guiado automático de bateo y optimización de construcción y mantenimiento de vía férrea, basado en visión artificial y fusión de sensores AVATTRACK
Name principal investigator (PI, Co-PI): José Maria Armingol Moreno
Funding entity or bodies: Ministerio de Economía y Competitividad (RTC-2014-2313-4)
Participantes: TECSA EMPRESA and CONSTRUCTORA SA y Universidad Carlos III de Madrid
Start-End date: 2014 – 2016(7) Name of the project: Desarrollo de un sistema integral de detección de trenes, roturas de carril y otras aplicaciones ferroviarias basado en la interpretación inteligente de vibraciones transmitidas por los carriles-Proyecto INDIO
Name principal investigator (PI, Co-PI): UC3M: Dr. David Martín Gómez y Dr. José María Armingol Moreno
Funding entity or bodies: MINECO-IPT-2012-0044-370000
Participantes: TECSA Empresa Constructora SA, Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC), and Universidad Carlos III de Madrid (UC3M)
Start-End date: 2013 – 2014uto Cities Timanfaya
Publications
- (1) Carlos Guindel, David Martín, José María Armingol (2019). Traffic scene awareness for intelligent vehicles using ConvNets and stereo vision. Robotics and Autonomous Systems, Vol. 112, pp. 109-122. LSEVIER SCIENCE BV, ISSN: 0921-8890
(2) Carlos Guindel, David Martin, Jose Maria Armingol. Fast Joint Object Detection and Viewpoint Estimation for Traffic Scene Understanding. IEEE Intelligent Transportation Systems Magazine, Vol. 10, Issue 4, pp. 74-86. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, ISSN: 1939-1390
(3) Pablo Marin-Plaza, Ahmed Hussein, David Martin, and Arturo de la Escalera. Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles. Journal of Advanced Transportation, Volume 2018, Article ID 6392697, 10 pages. WILEY-HINDAWI, ISSN: 0197-6729
(4) Abdulla Al-Kaff, David Martín, Fernando García, Arturo de la Escalera, José María Armingol (2017). Survey of computer vision algorithms and applications for unmanned aerial vehicles. Expert Systems with Applications, Vol. 92, pp. 447-463. Pergamon-Elsevier Science LTD, ISSN: 0957-4174.
(5) Abdulla Al-Kaff, Fernando García, David Martín, Arturo de la Escalera and José María Armingol (2017). Obstacle Detection and Avoidance System based on Monocular Camera and Size Expansion algorithm for UAVs. Sensors (Basel) vol. 17, pp. 1061-1083. Multidisciplinary Digital Publishing Institute (MDPI), ISSN 1424-8220.
(6) Fernando García, David Martín, Arturo de la Escalera, José María Armingol (2017). Sensor Fusion Methodology for Vehicle Detection. IEEE Intelligent Transportation Systems Magazine 9 (1), pp. 123-133. IEEE-Inst Electrical Electronics Engineers INC, ISSN: 1939-1390.
(7) Basam Musleh, David Martín, José María Armingol, Arturo de la Escalera (2016). Pose Self-Calibration of Stereo Vision Systems for Autonomous Vehicle Applications. Sensors, Vol. 16(9), 1492. Multidisciplinary Digital Publishing Institute (MDPI), ISSN 1424-8220.
(8) Arturo de la Escalera, Ebroul Izquierdo, David Martín, Basam Musleh, Fernando García, José María Armingol (2016). Stereo visual odometry in urban environments based on detecting ground features. Robotics and Autonomous Systems 80 (2016) 1–10. Elsevier Science, ISSN 0921-8890.
(9) Juan Carmona, Fernando García, David Martín, Arturo de la Escalera, José María Armingol (2015). Data Fusion for Driver Behaviour Analysis. Sensors (Basel), Vol. 15(10), pp. 25968-25991. Multidisciplinary Digital Publishing Institute (MDPI), ISSN 1424-8220.
(10) María José Gómez, Fernando García, David Martín, Arturo de la Escalera, José María Armingol (2015). Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion. Expert Systems with Applications, Vol. 42, pp. 8156–8171. Pergamon-Elsevier Science LTD, ISSN: 0957-4174.
Awards
FUNDACIÓN EDUARDO BARREIROS
VIII Edición del Premio a la Investigación Fundación Eduardo Barreiros 2014
Premio Fundación Eduardo Barreiros a la Investigación en el Campo de la Automoción
Authors: José María Armingol Moreno, Arturo de la Escalera Hueso, Fernando García Fernández, David Martín Gómez, Aurelio Ponz Villa y Felipe Jiménez Alonso.
Title: Sistema Integrado de Evitación Automática de Colisiones
Madrid, 17 July 2014
FERIA MOTORTEC AUTOMECÁNICA DE MADRID 2015
Premio Galería de Innovación 2015 en la categoría de “Equipos y Soluciones de Diagnosis”
Empresa SERCORE y Laboratorio de Sistemas Inteligentes de la Universidad Carlos III de Madrid
Authors UC3M: Fernando García, David Martín Gómez y Juan Carmona Fernández
Title: Sistema VcarSys (Portable Virtual Car System)
Madrid, 11 March 2015
AWARD TO THE BEST REVIEWER OF THE INTERNATIONAL REVIEWERS COMMITTEE
18th IEEE International Conference on Intelligent Transportation Systems
Dr. David Martín Gómez
Las Palmas de Gran Canaria, 16 September 2015
Teaching
(1) Control Engineering
(2) Computer Vision
(3) Intelligent Transportation Systems